Pradeep Kumar Naik

发表

Design of Dimensional Model for Clinical Data Storage and Analysis

Dipankar Sengupta, Priyanka Arora, Shradha Pant, 2013 .

Distinguishing compounds with anticancer activity by ANN using inductive QSAR descriptors

Pradeep Kumar Naik, Kunal Jaiswal, 2008, Bioinformation.

Molecular insight into γ–γ tubulin lateral interactions within the γ-tubulin ring complex (γ-TuRC)

Pradeep Kumar Naik, Charu Suri, Triscia W. Hendrickson, 2014, Journal of Computer-Aided Molecular Design.

In silico inspired design and synthesis of a novel tubulin-binding anti-cancer drug: folate conjugated noscapine (Targetin)

Pradeep Kumar Naik, Harish C. Joshi, Manu Lopus, 2012, Journal of Computer-Aided Molecular Design.

A SYSTEM MODEL FOR CELL DEATH/ SURVIVAL USING SPICE AND LADDER LOGIC

Sunil V. Bhooshan, Pradeep Kumar Naik, Shruti Jain, 2010 .

Molecular modelling evaluation of the cytotoxic activity of podophyllotoxin analogues

Pradeep Kumar Naik, Md. Afroz Alam, P. Naik, 2009, J. Comput. Aided Mol. Des..

PREDICTION OF ANTICANCER / NON-ANTICANCER DRUGS BASED ON COMPARATIVE MOLECULAR MOMENT DESCRIPTORS USING ARTIFICIAL NEURAL NETWORK AND SUPPORT VECTOR MACHINE

Pradeep Kumar Naik, Amiya Kumar Patel, 2009 .

Rational design of biaryl pharmacophore inserted noscapine derivatives as potent tubulin binding anticancer agents

Balasubramanian Sridhar, Pradeep Kumar Naik, Seneha Santoshi, 2015, Journal of Computer-Aided Molecular Design.

Docking-MM-GB/SA and ADME Screening of HIV-1 NNRTI Inhibitor: Nevirapine and its Analogues

Dipankar Sengupta, Pradeep Kumar Naik, Deeptak Verma, 2008, Silico Biol..

SN algorithm: analysis of temporal clinical data for mining periodic patterns and impending augury

Dipankar Sengupta, Pradeep Kumar Naik, Dipankar Sengupta, 2013, Journal of Clinical Bioinformatics.

A Case Tool for Prediction of Squamousal Cancerous and Non-Cancerous Cells using DIP and ANN

Nitin, Pradeep Kumar Naik, Ayush Agarwal, 2010, BIOCOMP.

Prediction of enzymes and non-enzymes from protein sequences based on sequence derived features and PSSM matrix using artificial neural network

Pradeep Kumar Naik, Kunal Jaiswal, Mukul Gupta, 2007, Bioinformation.

Rational design, synthesis and biological evaluations of amino-noscapine: a high affinity tubulin-binding noscapinoid

Ramesh Chandra, Pradeep Kumar Naik, Harish C. Joshi, 2011, J. Comput. Aided Mol. Des..

Computational Identification of Sweet Wormwood (Artemisia annua) microRNA and Their mRNA Targets

Pradeep Kumar Naik, Alok Pani, Niranjan Behera, 2011, Genom. Proteom. Bioinform..

Prediction of EF-hand calcium-binding proteins and identification of calcium-binding regions using machine learning techniques

Pradeep Kumar Naik, Kunal Jaiswal, Chandan Kumar, 2010 .

TpPred: A Tool for Hierarchical Prediction of Transport Proteins Using Cluster of Neural Networks and Sequence Derived Features

Sankalp Jain, Dipankar Sengupta, Pradeep Kumar Naik, 2012 .

Combination of docetaxel and newly synthesized 9-Br-trimethoxybenzyl-noscapine improve tubulin binding and enhances antitumor activity in breast cancer cells

Pradeep Kumar Naik, Srinivas Kantevari, Shruti Gamya Dash, 2021, Comput. Biol. Medicine.

BINARY CLASSIFICATION OF UNCHARACTERIZED PROTEINS INTO DNA BINDING/NON-DNA BINDING PROTEINS FROM SEQUENCE DERIVED FEATURES USING ANN

Pradeep Kumar Naik, Amiya Kumar Patel, Seema Patel, 2009 .

RetroPred: A tool for prediction, classification and extraction of non-LTR retrotransposons (LINEs & SINEs) from the genome by integrating PALS, PILER, MEME and ANN

Pradeep Kumar Naik, Sumit Gupta, S. Gupta, 2008, Bioinformation.